184 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" "St" scholarships in Denmark
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on mitigating its negative impacts with limited attention given to the development of tools and processes for planning and managing waste handling in order to increase reuse and recycling rates. The purpose
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microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM components are in use
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a PhD stipend is available within the general study programme Planning and Development. The stipend is
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AI for Cyber-Physical Energy Systems (Copenhagen) The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems used in power electronics and energy
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contribute to the development of background-suppression techniques for single‑photon detectors used in axion experiments, operating at optical and infrared wavelengths. The research project includes
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interactions in formulation environments. The position contributes to the development of pharmaceutical data science, integrating computational chemistry, molecular modeling, and quantitative analysis
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working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses. MSc
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. Furthermore, the PhD candidate will engineer complex genotypes and perform adaptive laboratory evolution experiments. The candidate will work in an international team and is expected to contribute creatively
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
-sensitivity sensing applications. Your responsibilities will follow the project scope described above and include laser design and development, nonlinear frequency conversion, frequency-comb stabilization and
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). The successful PhD candidate will use a combination of adaptive laboratory evolution and rational metabolic engineering to achieve these goals. In addition, they will develop growth‑coupled selection strategies